Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Energy Economicsarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Energy Economics
Article . 2024 . Peer-reviewed
License: CC BY
Data sources: Crossref
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
https://doi.org/10.2139/ssrn.4...
Article . 2023 . Peer-reviewed
Data sources: Crossref
SSRN Electronic Journal
Article . 2022 . Peer-reviewed
Data sources: Crossref
EconStor
Research . 2022
Data sources: EconStor
EconStor
Research . 2022
Data sources: EconStor
versions View all 7 versions
addClaim

Heterogeneous Household Responses to Energy Price Shocks

Authors: Gert Peersman; Joris Wauters;

Heterogeneous Household Responses to Energy Price Shocks

Abstract

We use survey evidence on reported spending in hypothetical energy price shock scenarios to study novel features of the price elasticity of energy demand and the marginal propensity to consume (MPC) after paying the energy bill. We document several nonlinearities depending on the sign and magnitude of the energy price shock that are economically relevant, including at the extensive and intensive margins. There is also considerable heterogeneity across households. For price increases, the elasticity of energy demand appears to be significantly larger for households that will likely undertake major home renovations over the next months, and smaller for families with more appetite to consume. In contrast, MPCs depend on households' income, saving buffer, financial uncertainty, appetite to consume, and gender of household head. Yet household characteristics hardly matter when energy prices decline; we only find smaller MPCs for households with a greater saving buffer and younger families. Finally, we show that targeted price subsidies on energy for Belgian low-income households have been much more effective in supporting non-energy consumption than the general VAT reduction on energy prices.

Country
Belgium
Related Organizations
Keywords

INCOME, Q41, Price elasticity of energy demand, Belgien, Marginal propensity to consume, energy demand, Q43, Preiselastizität, Energy shock, ddc:330, DEMAND, Energiepreis, Privater Konsum, Social Sciences, Household heterogeneity, marginal propensity to consume, Schock, Energiekonsum, D12, ELASTICITIES, H31, household heterogeneity, Survey experiment, E21

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    15
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Average
Top 10%
Green
hybrid
Related to Research communities